Bin Qian
- Industrial and Manufacturing Engineering top 0.2%
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Control and Systems Engineering top 2%
- Materials Chemistry top 10%
- Co-authors
- David BakerRong HuHuaiping JinDexian HuangSheng WangRichard A. GoldsteinLing WangXiong Wang
- Topics
- Scheduling and Optimization Algorithms (49 papers)Advanced Manufacturing and Logistics Optimization (33 papers)Metaheuristic Optimization Algorithms Research (19 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceControl and Systems Engineering
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Qian
140 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 154
- Industrial and Manufacturing Engineering 1.0k
- Molecular Biology 946
- Artificial Intelligence 575
- Control and Systems Engineering 392
- Materials Chemistry 358
Countries citing papers authored by Bin Qian
This map shows the geographic impact of Bin Qian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bin Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Qian more than expected).
Fields of papers citing papers by Bin Qian
This network shows the impact of papers produced by Bin Qian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bin Qian. The network helps show where Bin Qian may publish in the future.
Co-authorship network of co-authors of Bin Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Qian. A scholar is included among the top collaborators of Bin Qian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Qian. Bin Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 65 | |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 32 | |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | Geochronology of the Porphyry-like Type Iron Deposits in Ning-Wu Basin:Evidence from40Ar-39Ar Phlogopite Dating | 7 |
| 20 | 51 |
About Bin Qian
Bin Qian is a scholar working on Industrial and Manufacturing Engineering, Media Technology and Control and Systems Engineering, having authored 149 papers that have together received 3.1k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (49 papers), Advanced Manufacturing and Logistics Optimization (33 papers) and Metaheuristic Optimization Algorithms Research (19 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.0k citations), Artificial Intelligence (575 citations) and Control and Systems Engineering (392 citations). Bin Qian has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David Baker, Rong Hu, Huaiping Jin, Dexian Huang, Sheng Wang, Richard A. Goldstein, Ling Wang, Xiong Wang, Quan-Ke Pan and Philip Bradley. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.